//*****************************************************************************
// Copyright 2017-2020 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//*****************************************************************************

#pragma once

#include "core/node.hpp"
#include "ngraph/node.hpp"

namespace ngraph
{
    namespace onnx_import
    {
        namespace op
        {
            namespace set_1
            {
                /// \brief ONNX Shrink operator
                ///
                /// \note It operates on a single input tensor and two attributes: lambd and bias.
                ///       Input values greater or equal to '-lambd' and less or equal to 'lambd' are
                ///       zeroed-out. 'Bias' is added to the values that are less than '-lambd'
                ///       and subtracted from values greater than 'lambd'.
                NodeVector shrink(const Node& node);
            } // namespace set_1

        } // namespace op

    } // namespace onnx_import

} // namespace ngraph
